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135
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SCN
2008
Springer
136views Communications» more  SCN 2008»
15 years 3 months ago
An efficient data structure for network anomaly detection
Abstract-- Despite the rapid advance in networking technologies, detection of network anomalies at high-speed switches/routers is still far from maturity. To push the frontier, two...
Jieyan Fan, Dapeng Wu, Kejie Lu, Antonio Nucci
152
Voted
BMCBI
2010
153views more  BMCBI 2010»
15 years 3 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...
SIAMSC
2011
85views more  SIAMSC 2011»
14 years 6 months ago
Refinement and Connectivity Algorithms for Adaptive Discontinuous Galerkin Methods
Abstract. Adaptive multiscale methods are among the many effective techniques for the numerical solution of partial differential equations. Efficient grid management is an import...
Kolja Brix, Ralf Massjung, Alexander Voss
111
Voted
ICIP
2004
IEEE
16 years 5 months ago
Feature-based intra-prediction mode decision for H.264
A fast mode decision method for Intra prediction in H.264 is proposed in this work to reduce the encoder complexity. The proposed algorithm adopts a multi-stage sequential mode de...
Changsung Kim, Hsuan-Huei Shih, C. C. Jay Kuo
ICML
2005
IEEE
16 years 4 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore